Lewis Smith

1.4k total citations
13 papers, 437 citations indexed

About

Lewis Smith is a scholar working on Artificial Intelligence, Immunology and Control and Systems Engineering. According to data from OpenAlex, Lewis Smith has authored 13 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Immunology and 2 papers in Control and Systems Engineering. Recurrent topics in Lewis Smith's work include Adversarial Robustness in Machine Learning (4 papers), Anomaly Detection Techniques and Applications (4 papers) and T-cell and B-cell Immunology (3 papers). Lewis Smith is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Anomaly Detection Techniques and Applications (4 papers) and T-cell and B-cell Immunology (3 papers). Lewis Smith collaborates with scholars based in United Kingdom, Australia and United States. Lewis Smith's co-authors include Yarin Gal, Gonzalo Mateo‐García, Dietmar Backes, Silviu Oprea, Guy Schumann, Joshua Veitch-Michaelis, Atılım Güneş Baydin, Karen L. Masters, L. Fortson and Mike Walmsley and has published in prestigious journals such as Scientific Reports, Monthly Notices of the Royal Astronomical Society and arXiv (Cornell University).

In The Last Decade

Lewis Smith

12 papers receiving 399 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lewis Smith United Kingdom 8 118 107 83 82 50 13 437
M. Kerscher Germany 16 442 3.7× 22 0.2× 53 0.6× 23 0.3× 135 2.7× 38 836
Fadil Inceoglu United States 8 210 1.8× 76 0.7× 74 0.9× 69 0.8× 21 0.4× 22 509
Chad Schafer United States 9 91 0.8× 63 0.6× 22 0.3× 34 0.4× 26 0.5× 25 242
An Li China 12 42 0.4× 23 0.2× 16 0.2× 109 1.3× 5 0.1× 32 312
Gary Doran United States 13 234 2.0× 123 1.1× 43 0.5× 89 1.1× 11 0.2× 41 513
B. Lewis United States 9 56 0.5× 28 0.3× 62 0.7× 13 0.2× 8 0.2× 41 449
Trienko Grobler South Africa 11 179 1.5× 52 0.5× 62 0.7× 23 0.3× 14 0.3× 41 394
G. Cabrera-Vives Chile 10 255 2.2× 37 0.3× 7 0.1× 30 0.4× 71 1.4× 36 411
Stuart Anstee Australia 12 403 3.4× 31 0.3× 36 0.4× 66 0.8× 97 1.9× 32 661
B. Pirenne Canada 10 41 0.3× 49 0.5× 59 0.7× 21 0.3× 21 0.4× 52 377

Countries citing papers authored by Lewis Smith

Since Specialization
Citations

This map shows the geographic impact of Lewis Smith's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lewis Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lewis Smith more than expected).

Fields of papers citing papers by Lewis Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lewis Smith. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lewis Smith. The network helps show where Lewis Smith may publish in the future.

Co-authorship network of co-authors of Lewis Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Lewis Smith. A scholar is included among the top collaborators of Lewis Smith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lewis Smith. Lewis Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Smith, Lewis, et al.. (2024). Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2. 278–300. 4 indexed citations
2.
Walmsley, Mike, Chris Lintott, Tobias Géron, et al.. (2021). Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies. Monthly Notices of the Royal Astronomical Society. 509(3). 3966–3988. 111 indexed citations
3.
Mateo‐García, Gonzalo, Joshua Veitch-Michaelis, Lewis Smith, et al.. (2021). Towards global flood mapping onboard low cost satellites with machine learning. Scientific Reports. 11(1). 7249–7249. 137 indexed citations
4.
Amersfoort, Joost van, et al.. (2021). Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression.. 7 indexed citations
5.
Farquhar, Sebastian, Lewis Smith, & Yarin Gal. (2020). Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations. arXiv (Cornell University). 33. 4346–4357. 1 indexed citations
6.
Amersfoort, Joost van, Lewis Smith, Yee Whye Teh, & Yarin Gal. (2020). Simple and Scalable Epistemic Uncertainty Estimation Using a Single Deep Deterministic Neural Network. arXiv (Cornell University). 1. 9 indexed citations
7.
Amersfoort, Joost van, Lewis Smith, Yee Whye Teh, & Yarin Gal. (2020). Uncertainty Estimation Using a Single Deep Deterministic Neural Network. International Conference on Machine Learning. 9690–9700. 14 indexed citations
8.
Farquhar, Sebastian, Lewis Smith, & Yarin Gal. (2020). Try Depth Instead of Weight Correlations: Mean-field is a Less Restrictive Assumption for Deeper Networks.. arXiv (Cornell University). 2 indexed citations
9.
Walmsley, Mike, Lewis Smith, Chris Lintott, et al.. (2019). Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning. Monthly Notices of the Royal Astronomical Society. 491(2). 1554–1574. 86 indexed citations
10.
Smith, Lewis & Yarin Gal. (2018). Understanding Measures of Uncertainty for Adversarial Example Detection. Uncertainty in Artificial Intelligence. 560–569. 12 indexed citations
11.
Fidler, Sarah, et al.. (2007). The identification and characterisation of a novel null HLA‐DRB1 allele. Tissue Antigens. 69(s1). 58–60. 1 indexed citations
12.
Smith, Lewis, et al.. (2007). Sequencing‐based typing identifies novel alleles due to single nucleotide polymorphisms in ‘conserved’ regions. Tissue Antigens. 69(s1). 56–57. 2 indexed citations
13.
Tay, Guan K., Campbell S. Witt, Frank Christiansen, et al.. (1995). Matching for MHC haplotypes results in improved survival following unrelated bone marrow transplantation.. PubMed. 15(3). 381–5. 51 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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